A Preliminary Study on the Feasibility of Detecting Global Acute Cerebral Ischemia by the MIPS Method
Acute cerebral ischemia is an important clinical disease that is usually detected by magnetic resonance imaging or computed tomography. The magnetic inductive phase shift (MIPS) is a new method for detecting cerebral diseases, which is non-invasive, miniaturized, and low-cost. A total of 25 rabbits...
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description | Acute cerebral ischemia is an important clinical disease that is usually detected by magnetic resonance imaging or computed tomography. The magnetic inductive phase shift (MIPS) is a new method for detecting cerebral diseases, which is non-invasive, miniaturized, and low-cost. A total of 25 rabbits were studied using a two-coil sensor with a 0.3-200 MHz frequency range, and all the subjects were measured for 1 hour. Based on the rabbit acute cerebral ischemia model, the rabbits were divided into unilateral ligation, bilateral ligation, and non-ligation groups. The results showed that the average MIPS values of the non-ligation, unilateral ligation, and bilateral ligation group were -0.195 ± 0.079°, -4.873 ± 1.042°, and -9.165 ± 2.862° respectively. MIPS distinguished different severities of cerebral ischemia in rabbits with statistical significance (p |
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The magnetic inductive phase shift (MIPS) is a new method for detecting cerebral diseases, which is non-invasive, miniaturized, and low-cost. A total of 25 rabbits were studied using a two-coil sensor with a 0.3-200 MHz frequency range, and all the subjects were measured for 1 hour. Based on the rabbit acute cerebral ischemia model, the rabbits were divided into unilateral ligation, bilateral ligation, and non-ligation groups. The results showed that the average MIPS values of the non-ligation, unilateral ligation, and bilateral ligation group were -0.195 ± 0.079°, -4.873 ± 1.042°, and -9.165 ± 2.862° respectively. MIPS distinguished different severities of cerebral ischemia in rabbits with statistical significance (p <; 0.05). Laser Doppler flowmetry (LDF) was used as the gold standard for collecting cerebral blood flow data. The strong correlation between the LDF measurements and the phase shift suggested that the phase shift reflects blood flow changes in the brain. Overall, these results suggest that the MIPS detection method has the potential to provide early detection of global cerebral ischemia. Furthermore, this method effectively distinguished different severities of cerebral ischemia.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.2973250</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Acute cerebral ischemia ; Biomedical monitoring ; Blood ; Blood flow ; Computed tomography ; Correlation analysis ; Feasibility studies ; Frequency measurement ; Frequency ranges ; Hospitals ; Ischemia ; laser Doppler flowmetry ; magnetic induction phase shift ; Magnetic resonance imaging ; Monitoring ; Phase shift ; Rabbits</subject><ispartof>IEEE access, 2020, Vol.8, p.32290-32296</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-c21d133414f9d2ad4e027932c183a2f7bda4c7a4886f9fcddeac08edec63204a3</citedby><cites>FETCH-LOGICAL-c458t-c21d133414f9d2ad4e027932c183a2f7bda4c7a4886f9fcddeac08edec63204a3</cites><orcidid>0000-0002-9845-2122 ; 0000-0003-0897-7222 ; 0000-0002-5746-1225 ; 0000-0002-1095-9333 ; 0000-0001-9551-7464 ; 0000-0002-4868-5905 ; 0000-0003-4961-353X ; 0000-0002-4183-4242 ; 0000-0002-5496-4521 ; 0000-0001-6673-7978</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8993807$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,4024,27633,27923,27924,27925,54933</link.rule.ids></links><search><creatorcontrib>Zhuang, Wei</creatorcontrib><creatorcontrib>Pan, Wencai</creatorcontrib><creatorcontrib>Xu, Lin</creatorcontrib><creatorcontrib>Chen, Jingbo</creatorcontrib><creatorcontrib>Xu, Jia</creatorcontrib><creatorcontrib>Bai, Zelin</creatorcontrib><creatorcontrib>Li, Gen</creatorcontrib><creatorcontrib>Chen, Mingsheng</creatorcontrib><creatorcontrib>Sun, Jian</creatorcontrib><creatorcontrib>Qin, Mingxin</creatorcontrib><title>A Preliminary Study on the Feasibility of Detecting Global Acute Cerebral Ischemia by the MIPS Method</title><title>IEEE access</title><addtitle>Access</addtitle><description>Acute cerebral ischemia is an important clinical disease that is usually detected by magnetic resonance imaging or computed tomography. The magnetic inductive phase shift (MIPS) is a new method for detecting cerebral diseases, which is non-invasive, miniaturized, and low-cost. A total of 25 rabbits were studied using a two-coil sensor with a 0.3-200 MHz frequency range, and all the subjects were measured for 1 hour. Based on the rabbit acute cerebral ischemia model, the rabbits were divided into unilateral ligation, bilateral ligation, and non-ligation groups. The results showed that the average MIPS values of the non-ligation, unilateral ligation, and bilateral ligation group were -0.195 ± 0.079°, -4.873 ± 1.042°, and -9.165 ± 2.862° respectively. MIPS distinguished different severities of cerebral ischemia in rabbits with statistical significance (p <; 0.05). Laser Doppler flowmetry (LDF) was used as the gold standard for collecting cerebral blood flow data. The strong correlation between the LDF measurements and the phase shift suggested that the phase shift reflects blood flow changes in the brain. Overall, these results suggest that the MIPS detection method has the potential to provide early detection of global cerebral ischemia. Furthermore, this method effectively distinguished different severities of cerebral ischemia.</description><subject>Acute cerebral ischemia</subject><subject>Biomedical monitoring</subject><subject>Blood</subject><subject>Blood flow</subject><subject>Computed tomography</subject><subject>Correlation analysis</subject><subject>Feasibility studies</subject><subject>Frequency measurement</subject><subject>Frequency ranges</subject><subject>Hospitals</subject><subject>Ischemia</subject><subject>laser Doppler flowmetry</subject><subject>magnetic induction phase shift</subject><subject>Magnetic resonance imaging</subject><subject>Monitoring</subject><subject>Phase shift</subject><subject>Rabbits</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LAzEQXURB0f6CXgKeW_O1m-RY1q-ColA9h2wysSnbRrPpof_e1BVxLjPzmPdmhldVU4LnhGB1s2jbu9VqTjHFc6oEozU-qS4oadSM1aw5_VefV5Nh2OASskC1uKhggV4T9GEbdiYd0Crv3QHFHcprQPdghtCFPuQCeXQLGWwOuw_00MfO9Ghh9xlQCwm6VNrlYNewDQZ1hx_68_J1hZ4hr6O7qs686QeY_ObL6v3-7q19nD29PCzbxdPM8lrmmaXEEcY44V45ahwHTIVi1BLJDPWic4ZbYbiUjVfeOgfGYgkObMMo5oZdVstR10Wz0Z8pbMtTOpqgf4CYPrRJOdgetPeCU-GgbjDnyjedtNwXHQlW2M64onU9an2m-LWHIetN3KddOV9TXnPRcMJImWLjlE1xGBL4v60E66M9erRHH-3Rv_YU1nRkBQD4Y0ilmMSCfQM6e4tn</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Zhuang, Wei</creator><creator>Pan, Wencai</creator><creator>Xu, Lin</creator><creator>Chen, Jingbo</creator><creator>Xu, Jia</creator><creator>Bai, Zelin</creator><creator>Li, Gen</creator><creator>Chen, Mingsheng</creator><creator>Sun, Jian</creator><creator>Qin, Mingxin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The magnetic inductive phase shift (MIPS) is a new method for detecting cerebral diseases, which is non-invasive, miniaturized, and low-cost. A total of 25 rabbits were studied using a two-coil sensor with a 0.3-200 MHz frequency range, and all the subjects were measured for 1 hour. Based on the rabbit acute cerebral ischemia model, the rabbits were divided into unilateral ligation, bilateral ligation, and non-ligation groups. The results showed that the average MIPS values of the non-ligation, unilateral ligation, and bilateral ligation group were -0.195 ± 0.079°, -4.873 ± 1.042°, and -9.165 ± 2.862° respectively. MIPS distinguished different severities of cerebral ischemia in rabbits with statistical significance (p <; 0.05). Laser Doppler flowmetry (LDF) was used as the gold standard for collecting cerebral blood flow data. The strong correlation between the LDF measurements and the phase shift suggested that the phase shift reflects blood flow changes in the brain. Overall, these results suggest that the MIPS detection method has the potential to provide early detection of global cerebral ischemia. Furthermore, this method effectively distinguished different severities of cerebral ischemia.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.2973250</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9845-2122</orcidid><orcidid>https://orcid.org/0000-0003-0897-7222</orcidid><orcidid>https://orcid.org/0000-0002-5746-1225</orcidid><orcidid>https://orcid.org/0000-0002-1095-9333</orcidid><orcidid>https://orcid.org/0000-0001-9551-7464</orcidid><orcidid>https://orcid.org/0000-0002-4868-5905</orcidid><orcidid>https://orcid.org/0000-0003-4961-353X</orcidid><orcidid>https://orcid.org/0000-0002-4183-4242</orcidid><orcidid>https://orcid.org/0000-0002-5496-4521</orcidid><orcidid>https://orcid.org/0000-0001-6673-7978</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acute cerebral ischemia Biomedical monitoring Blood Blood flow Computed tomography Correlation analysis Feasibility studies Frequency measurement Frequency ranges Hospitals Ischemia laser Doppler flowmetry magnetic induction phase shift Magnetic resonance imaging Monitoring Phase shift Rabbits |
title | A Preliminary Study on the Feasibility of Detecting Global Acute Cerebral Ischemia by the MIPS Method |
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